Current Partnerships
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5 GLOS Observing Team Current Partnerships CILER NOAA GLERL University of Michigan University of Wisconsin-Milwaukee University of Minnesota-Duluth Grand Valley State University Great Lakes Research Consortium (SUNY ESF partner) Great Lakes Research Consortium (SUNY Oswego partner) Great Lakes Research Consortium (Buffalo State College) Michigan Technological University Michigan Technological Research Institute Add your name here
6 EA Basin Scale Network Legend Buoy AUV Vessels
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8 Objective: Improve marine forecasting & local observations - support GLCFS
9 Climate Change - EA Lake Scale Glider transect, 2011
10 Iver2-580 AUV-EP42 Imagenex Yellow Fin Side Scan Sonar 10 Beam Doppler Velocity Log for Bottom Tracking YSI Sonde 6600 GLOS AUV
11 Vessels of opportunity Nearshore buoy equipped with meteorological station, surface sonde, and CO 2 monitoring system. High-speed ferry equipped with GPS and automated monitoring system for CO2, O2, temperature, algal fluorescence. Carbon dioxide concentrations in Lake Michigan surface waters CO 2 uptake CO 2 released CO 2 uptake photosynthesis respiration photosynthesis MILWAUKEE Nearshore Offshore data: Harvey Bootsma MUSKEGON Nearshore
12 morning afternoon Cleary et al. unpubl.
13 Ranger III Data Collection Ranger III cruise between Houghton and Rock Harbor Ranger III monitoring components Passenger Display WQ is the water-quality sensors package GPS/WX is the weather/gps/argos package Onboard instrument distribution Ranger Measurements Temperature ph Conductivity Turbidity Above-board ARGOS met-station Chlorophyll ORP Air Temperature Wind Speed 13
14 Tabbed navigation Multiple views of data availabl Dynamic grids Sort, drag and re-order columns Interactive maps Exploits Google Maps API; Display any vector (KML/KMZ) data of your choice;
15 DATA MANAGEMENT AND COMMUNICATIONS
16 The GLOS Enterprise Integrated Technology / Data / Applications Architecture in the IOOS Framework Observations Data Telemetry Data Mgmt and Communications Modeling and Analysis Data / Information Products and Services Satellites DMAC Ecological Restoration Aircraft Metadata standards Search and Rescue Fixed Platforms Data discovery Coastal Flooding and Erosion Ships Data transport Beach Closures Drifters and Floats Online browsing Water Management AUVs Data Archival Management of Nutrient Loading Buoys Static Observations Fisheries Management Maritime Navigational Services
17 bcodmo.org
18 Challenges: Continuous operations rugged moorings, sensors Spatial coverage - scales calibration & QAQC Data management Buoys not functional in winter cabled observatories 100yr $ustainability - currently heavily subsidized by the academic community and federal laboratories (GLERL) - needs to transition to operational status yr day sec mm m km 1000 km
19 ... and while I have the podium BOGLS suggest we need a better acronym highlights fast changing ecosystem dynamics (NO 3,Si, Ca, evap, ice cover, temp, DM, fish, transparency, runoff, etc. defy our current models) less Great Lakes centric in sound & appearance (other examples) emphasizes urgency of research never let a good disaster go to waste... So at dinner last night... comes 1 suggestion to stimulate your thinking
20 . RABID Rapidly Altered Biogeochemical Dynamics Better suggestions more than welcome
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22 DMAC and Concept of Operations: GLOS Enterprise System Management, Development, and User Framework Test/Eval User Needs Mgmt /Oversight R&D GLOS R&D Needs RESEARCH AND DEVELOPMENT (Federal, Academic & Private) Pilot OTHER USER COMMUNITIES DMAC Refine Federal Inter-Agency Oversight and Management OPERATIONAL SYSTEM (System Managers) Implement Operate Funding: Federal State Provincial Private GLOS Enterprise Architecture Maintain
23 Ozone forecast Models often indicates O 3 max over mid lake, but no over lake data to verify this
24 Cleary et al. unpubl.
25 Sensor issues what can we reliably measure? Physics Chemistry Biology Temp Met data Wave ht & freq Currents Ice cover Solar radiation Conductivity DO Turbidity ph Nutrients DOM Algal pigments Acoustics active and passive Imaging Increasing difficulty, decreasing reliability/resolution/response
26 Data management challenges drinking from the fire hose(s) Data vetting (QAQC) & reporting delays, incompatibility Data interpretation insight, experience, history Visualization Interconnectivity/integration the I in IOOS
IOOS/ GCOOS. Dr. Barbara Kirkpatrick Executive Director. SAML Meeting May 12, 2016
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